The current competitive scenario is driving manufacturing companies to introduce innovative and faster ICT solutions, which allow to deal with short product life-cycle and time to market constraints. In this context, the German high tech strategy Industry 4.0 has been risen with the aim of enhancing the high innovation and economic potential resulting from the continuing impact of rapidly advancing information and communication technology in the factory domain. In particular, starting from the Industry 4.0 vision, the paper focuses on the identification of technological solutions for the classification of steel scrap, which is the main supply source of industries based on electric steelmaking. In fact, a clear identification of steel scrap is at the base of a steel production, which then could satisfy specific customer needs. The research of available tools is performed with the "quick and dirty" method, which aims at identifying innovative opportunities started from available technologies. The paper presents a comparison between different current tools, analyzed with respect to various dimensions such as performance, time and costs. Finally, the outcome of the paper is to demonstrate if an available solution exists, and if it could be implemented in steel industries with a low effort and costs.

An Innovative Model for Crashing DSS Implementation Process in Industry 4.0: A Case Study

Melissa Demartini;Lorenzo Damiani;Roberto Revetria;Flavio Tonelli
2017

Abstract

The current competitive scenario is driving manufacturing companies to introduce innovative and faster ICT solutions, which allow to deal with short product life-cycle and time to market constraints. In this context, the German high tech strategy Industry 4.0 has been risen with the aim of enhancing the high innovation and economic potential resulting from the continuing impact of rapidly advancing information and communication technology in the factory domain. In particular, starting from the Industry 4.0 vision, the paper focuses on the identification of technological solutions for the classification of steel scrap, which is the main supply source of industries based on electric steelmaking. In fact, a clear identification of steel scrap is at the base of a steel production, which then could satisfy specific customer needs. The research of available tools is performed with the "quick and dirty" method, which aims at identifying innovative opportunities started from available technologies. The paper presents a comparison between different current tools, analyzed with respect to various dimensions such as performance, time and costs. Finally, the outcome of the paper is to demonstrate if an available solution exists, and if it could be implemented in steel industries with a low effort and costs.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11567/890898
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